RMF2012 Abstracts

Session: Wednesday 4th July AM (09.15 - 12.45)

Title: Pathways from Social Disadvantage to Health: What can we Learn from Longitudinal Analysis?

Name: Emily Grundy

Affiliation: NCRM Node Pathways, London School of Hygiene and Tropical Medicine

Abstract Details

Researchers often hope that using longitudinal data will enable them to make identify pathways from one situation or state to another, for example from childhood circumstances to later health status. However, standard analytical methods based on regression modelling are not adequate to this task. In this session the presenters will discuss pitfalls of standard approaches and outline alternative methods developed in the causal inference tradition, including use of causal diagrams. In the third presentation the focus will be on dealing with selection bias arising from attrition and other forms of incomplete data.

Presentation downloads

Presenter: Rhian Daniel

Current and new approaches to estimating causal pathways from observational data

The level of the session is: Accessible

Presentation details

Presenter 1

Start time: 09:15

Presentation title: Current and new approaches to estimating causal pathways from observational data

Author: Dr Rhian Daniel

Affiliation: Pathways, LSHTM

Presenter 2

Start time: 10:00

Presentation title: Current and new approaches to estimating causal pathways from observational data

Author: Dr George Ploubidis

Affiliation: Pathways, LSHTM

Presenter 3

Start time: 11:15

Presentation title: Dealing with attrition in longitudinal data sets

Author: Professor Mike Kenward

Affiliation: Pathways, LSHTM

Presenter 4

Start time: 12:00

Presentation title: Using longitudinal data to understand health inequalities at older ages

Author: Dr George Ploubidis

Affiliation: Pathways, LSHTM